首页    期刊浏览 2024年07月06日 星期六
登录注册

文章基本信息

  • 标题:Comparative study on the redundancy of mobile single- and dual-arm robots
  • 本地全文:下载
  • 作者:Hongxing Wang ; Ruifeng Li ; Yunfeng Gao
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2016
  • 卷号:13
  • 期号:6
  • DOI:10.1177/1729881416666782
  • 出版社:SAGE Publications
  • 摘要:A whole resolved motion rate control algorithm designed for mobile dual-arm redundant robots is presented in this article. Based on this algorithm, the end-effector movements of the dual arms of the mobile dual-arm redundant robot can be decomposed into the movements of the two driving wheels of the differential driving platform and the movements of the dual-arm each joint of this robot harmoniously. The influence of the redundancies of the single- and dual-arm robots on the operation based on the fixed- and differential-driving platforms, which are then based on the whole resolved motion rate control algorithm, is studied after building their motion models. Some comparisons are made to show the advantages of this algorithm on the entire modeling of the complicated robotic system and the influences of the redundancy. First, the comparison of the simulation results between the fixed single-arm robot and the mobile single-arm robot is presented. Second, a comparison of the simulation results between the mobile single-arm robot and the mobile dual-arm robots is shown. Compared with the mobile single-arm robot and the fixed dual-arm robot based on this algorithm, the mobile dual-arm robot has more redundancy and can simultaneously track and operate different objects. Moreover, the mobile dual-arm redundant robot has better smoothness, more flexibility, larger operational space, and more harmonious cooperation between the two arms and the differential driving platform during the entire mobile operational process.
  • 关键词:Mobile dual-arm robot ; whole resolved motion rate control ; redundancy ; mobile operation ; inverse generalized Jacobian matrix
国家哲学社会科学文献中心版权所有